iceDQ Platform Overview
End-to-end data reliability platform for enterprises
What is iceDQ?
iceDQ is a purpose-built platform with integrated data testing, data monitoring and AI based data observability capabilities.
iceDQ is the only platform that works across the entire data development lifecycle – development, QA, and production – ensuring robust data processes and reliable data.
OVERVIEW
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Data Testing Test the ETL data pipelines, BI reports and certify the data migrations before deploying into production.
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Data Monitoring Monitor the input data and data process when the data pipeline is running in production.
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Data Observability Use AI to automatically detect, analyze and report data anomalies.
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Scheduler Trigger rules and workflows based on a time-based schedule.
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Connectors 150+ connectors for database, data lakes, document DBs, and file type such as JSON, XML, Parquet, and more.
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Integrations 20+ integration for test case, and incident management tools such as JIRA, Xray test management, Azure test plans, ServiceNow, and more.
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Dashboard & Reporting Visualize pre-built DQ dashboards.
HOW IT WORKS?
KEY BENEFITS
 | GRC - Governance, Risk and Compliance |  | Improved risk management with accurate data identification, effective data controls, and enhanced incident response. Achieve stronger regulatory compliance, accurate reporting and reduced compliance costs. |
 | Revenue |  | Improve your top and bottom-line revenue by improving customer experience, providing the right data to decision makers, speeding up data centric projects and collaboration across data teams and business. |
 | Productivity |  | When data is accurate and complete, there are fewer errors and rework in processes, leading to cost savings. Time spent correcting bad data can be redirected to more productive activities. |
CAPABILITIES
AI Powered
Automatically generates metrics with AI and machine learning to observe and report anomalies in production data.
APIs for CI/CD
Engineered with API-first approach to seamlessly integrate in CI/CD pipeline such as Jenkins, Azure Pipelines, Bamboo and GIT repository.
Performance & Scalability
iceDQ does not use database for processing instead it uses Java processing for high performance and low latency. It also has Spark for scaling to petabytes of data.
All Features
Explore additional capabilities such as SSO, Key Vault, Query Designer, UDF, reporting, ticketing, and more.
FAQs
Do you use a database for processing?
No. We have our proprietary high-performance in-memory engine and a scalable big-data engine. This helps lower your database load and costs.
Where is the software deployed?
Companies can opt for the SaaS option on AWS or the self-managed on-premises options.
Do you have access to our data?
No. The customer controls data access for both the SaaS and on-premises option.
What is the license based on?
It’s a consumption-based license per user per server or enterprise.